FOOD CHEMISTRY
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2024
·
IF 8.5
Rui Tan,Mei Zeng,Qiuwen Huang,Na Zhou,Mengjiang Deng,Yuanyuan Li,Xiaojun Luo
The presence of nitrite in food products has generated significant public concern. A simple and rapid dual-mode surface-enhanced Raman spectroscopy (SERS)/colorimetric detection of nitrite is proposed based on a diazo reaction and multifunctional gold nanoparticle-doped covalent organic framework (Au@COF) composite. Under acidic conditions, the reaction between toluidine blue and nitrite yielded a colorless diazo salt, simultaneously attenuating its characteristic absorption peak and Raman signal. The multifunctional Au@COF materials enhanced the Raman signal and ensured good reproducibility. Additionally, the reaction rates improved, and the sensitivity was enhanced due to the excellent adsorption capacity of the COF. The proposed method demonstrated high sensitivity and excellent recovery rates for nitrite detection in food samples. This approach shows potential for precisely detecting nitrite content in real-world food samples by integrating the simplicity of colorimetric analysis with the enhanced sensitivity of SERS.
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Advanced Science
·
2024
·
IF 14.3
Dong Chen,Yilin Ma,Annan Yang,Liping Hu,Hanlin Zhou,Jun Xu,Shanze Chen,Dingmeng Nie,Weifeng Feng,Huaihong Cai,Yanguang Cong,Jiang Pi,Lang Rao,Xueqin Huang,Pinghua Sun,Haibo Zhou
Prostate specific antigen (PSA) is widely used in liquid biopsy of prostate cancer (PCa) but still faces challenges due to the poor specificity. Herein, this study reports a double-SERS satellite immunoassay, made of an Au–Ag dealloyed intra-nanogap nanoflower (Au–Ag DINF) with strong SERS signals and Au magnetic nanoparticles (AuMNPs) with magnetic capture and SERS amplification, for sensing multiple PSA (free PSA (fPSA), complexed PSA (cPSA) and [-2]proPSA (p2PSA)) toward potential PCa screening. Unlike the previous studies focus on the tPSA and fPSA/tPSA ratio (f/t PSA%), this work introduces a multiple PSA-mediated Prostate Health Index (PHI) assay with significantly increased the predictive accuracy and specificity of PCa, especially the patients with a tPSA level in the “diagnostic gray zone”. Practical analysis of clinical samples demonstrated the SERS immunoassay is capable of identifying the PCa subjects from healthy candidates ( N = 13), and monitoring PCa patients before and after surgery ( N = 5), as well as screening suspicious ones who are in the “gray zone” ( N = 10). Overall, benefiting from the PSA-responsive satellite immuno-nanoassemble strategy, dual-SERS magnification effect, and multiple PSA-based PHI assessment, this proposes bioassay held enormous potential for the early diagnosis, screening, monitoring, and prognosis of PCa.
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ACS Applied Nano Materials
·
2024
·
IF 5.3
Bingqian Lv,Yunqing Wang,Rongchao Mei,Yan Li,Xizhen Zhao,Qi Yuan,Hui Xu,Lingxin Chen
In situ, fast, sensitive detection of drugs in blood is in great demand in many clinical scenarios. Surface-enhanced Raman spectroscopy (SERS) has shown great potential in drug analysis; however, achieving highly sensitive detection using a portable Raman instrument is still challenging. Herein, a superhydrophobic silver-film-assisted 3D SERS platform was proposed for sensitive detection of drugs in plasma. The superhydrophobic silver film was prepared through the self-assembly of silver nanoparticles (Ag NPs) at the liquid–liquid interface. Gold–silver core–shell (Au@Ag) nanoparticles (NPs), encoded with an internal standard signal, were mixed with the plasma sample. The mixture formed nanocomposites on the superhydrophobic silver film, creating abundant 3D hotspots that greatly enhanced the signal of the analytes. The 3D platform enabled the detection of crystal violet as low as 10–13 M, and a relative standard deviation (RSD) of 13.4% using a research-grade Raman spectrometer. Furthermore, mitoxantrone and methylene blue drug analysis in plasma was performed by using a portable Raman spectrometer, which could be detected at as low as 8 × 10–10 and 3 × 10–8 M, respectively, with an improved signal repeatability (RSD 2.5%). Based on this technique, the pharmacokinetics of the two drugs postintravenous injection in mice was investigated. This work provided a facile and sensitive protocol for plasma drug analysis, showing great promise for the popularization of portable Raman spectroscopy in real clinical applications.
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COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
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2024
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IF 4.9
Hao Sun,Shuang Xiong,Baolong Shi,Yimin Zhou,Changwei Bi,Jitao Li,Lili Li,Bin Liu,Chaoqing Dai,Yueyue Wang,Chao Wang,Dalei Wang,Wei Liu
Given the health and environmental risks associated with pesticide misuse, achieving zero pesticide residues is pivotal in Agriculture 4.0. Traditional detection methods such as HPLC and GC-MS are both complex and time-consuming. In contrast, surface-enhanced Raman scattering (SERS) offers rapid detection and high sensitivity, aligning with the efficiency and accuracy requirements of Agriculture 4.0. In this study, we developed a high-performance flexible substrate using a simple chemical synthesis method. We used material adsorption, anisotropic charge attraction and electron migration to facilitate the growth of the substrate material, which promoted more 'hot spots' and electron transfer , and continued optimisation of the preparation process, which resulted in a significant increase in spectral intensity. The substrate demonstrated outstanding detection capability, with a detection limit of 10 −15 M for thiabendazole (TBZ). In practical fruit testing, TBZ residue concentrations on the surface of American cherries could be detected as low as 10 −8 mg/mL, well below China's prescribed limit of 5 mg/kg. Relative to previous work in the field of pesticide detection, our study has lower detection limits and concentrations, as well as lower cost and simpler preparation, which provide more options for the detection of very low concentrations of hazardous substances. At the same time, it was confirmed that SERS is consistent with the zero pesticide residue goal of Agriculture 4.0, demonstrating practical efficacy and accuracy within this framework.
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Analytical Methods
·
2024
·Vol. 16
·期 10
·1489-1495
·
IF 2.7
Lingyan Shi,Wei Liu,Xuan He,Zihan Wang,Weiping Xian,Jie Wang,Sheng Cui
High fluorescence background poses a substantial challenge to surface-enhanced Raman scattering (SERS), thereby limiting its broader applicability across diverse domains. In this work, silver nanoparticle (Ag NP)-loaded graphene oxide aerogel nanomaterials (GO-Ag ANM) were prepared for sensitive SERS detection of fluorescent explosive 2,4,8,10-tetranitrobenzo-1,3a,6,6a-tetraazapentaenopyridine (BPTAP) by a fluorescence quenching strategy. By harnessing the fluorescence quenching properties of graphene and the localized surface plasmon resonance of silver nanoparticles, the synthesized aerogels exhibited effective fluorescence quenching and Raman enhancement capabilities when employed for BPTAP analysis with 532 nm laser excitation. Significantly, precise control over the loading quantity of silver nanoparticles (Ag NPs) resulted in the remarkable sensitivity of the surface-enhanced Raman scattering (SERS) effect. This method allowed for the detection of fluorescent explosive BPTAP at an extraordinarily low concentration of 1 × 10−7 M. Furthermore, the approach also demonstrated excellent detection capabilities for the dyes R6G, CV, and RhB. This study offers valuable insights for the sensitive detection of fluorescent molecules.
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Heliyon
·
2024
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IF 3.4
Wenying Zhou,Xue Han,Yanjun Wu,Guochao Shi,Shiqi Xu,Mingli Wang,Wenzhi Yuan,Jiahao Cui,Zelong Li
Rapid, universal and accurate identification of chemical composition changes in multi-component traditional Chinese medicine (TCM) decoction is a necessary condition for elucidating the effectiveness and mechanism of pharmacodynamic substances in TCM. In this paper, SERS technology, combined with grating-like SERS substrate and machine learning method, was used to establish an efficient and sensitive method for the detection of TCM decoction. Firstly, the grating-like substrate prepared by magnetron sputtering technology was served as a reliable SERS sensor for the identification of TCM decoction. The enhancement factor (EF) of 4-ATP probe molecules was as high as 1.90 × 10 7 and the limit of detection (LOD) was as low as 1 × 10 −10 M. Then, SERS technology combined with support vector machine (SVM), decision tree (DT), Naive Bayes (NB) and other machine learning algorithms were used to classify and identify the three TCM decoctions, and the classification accuracy rate was as high as 97.78 %. In summary, it is expected that the proposed method combining SERS and machine learning method will have a high development in the practical application of multi-component analytes in TCM.
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APPLIED SURFACE SCIENCE
·
2024
·
IF 6.3
Guanwei Tao,Jiajun Li,Xinping Zhang
We report a new SERS sensor based on the hybridization of the laser-induced graphene (LIG) and silver nanoparticles (AgNPs). LIG was produced by direct laser writing on a PI film. AgNPs were produced on the LIG surface by thermal evaporation of silver. The porous-structured LIG layer increases largely the total surface area of the substrate and supplies delocalized π bonds for the enhancement of the adsorption of the target molecules to the LIG surface. Furthermore, LIG also provided the chemical enhancement mechanism. The high-density hotspots supplied by AgNPs on the LIG surface in such a hybrid scheme are the main mechanism for the SERS sensing. In particular, strong surface morphology depending on the Ag-deposition thickness and deposition rate enables modification of hydrophobicity of the SERS substrate, which gives additional channels for improving the SERS performance. Theoretical analysis on the distribution of the optical electric field facilitates the determination of the optimized Ag thickness and the deposition rate. These multifold enhancement mechanisms produced a SERS enhancement factor of 3.19 × 10 5 , which enables high-sensitivity detection of the banned dyes (CV, MG) in aquatic products. Strong Raman signals were detected with high contrast for a concentration as low as 10 −7 M. This sensor also has potentials for on-site detection in various application circumstances.
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SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
·
2025
·
IF 4.6
Lu Bai,Xue Pan,Zhicheng Liu
The development of electrospun nanomaterials as highly efficient and portable substrates for surface-enhanced Raman scattering (SERS) is of great significance for rapid detection of pollutant molecules. In this work, we prepared sustainable polylactic acid (PLA) electrospun nanofibers decorated with silver nanoparticles (Ag NPs) as a flexible SERS substrate through a combined process of facile electrospinning and green plasma treatment. Using rhodamine 6G (R6G) as probe molecule, the PLA/Ag NPs composite nanofibers show excellent SERS performance and allow the detection of R6G at a low concentration of 10 −10 M. In addition, the SERS substrate could be used for trace detection of pesticide thiram, and exhibits high sensitivity with a detection limit of 10 −8 M. By taking advantage of the flexibility of the nanofibers, the nanofibrous membrane was pasted on the surface of an apple to sample and detect residual thiram, and the pesticide could be distinctly identified even at a low concentration of 10 −7 M. The presence of dense Ag NPs with numerous hot-spots played a crucial role in the substrate’s high sensitivity for SERS detection. This environmentally friendly, self-supporting SERS substrate holds great promise for diverse applications, including environmental monitoring and medical diagnostics.
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NEW JOURNAL OF CHEMISTRY
·
2024
·
IF 2.7
Zuo Xiao,Xuhuan Li,Rong Yang,Weichen Fang,Xiaodong Shen,Yang Cao,Wenbo Xin
Flexible surface-enhanced Raman spectroscopy (SERS) substrates are assembled by flexible matrices and plasmonic metal nanocrystals. Gold nanoflowers (AuNFs), typically multi-branched nanostructures, show fascinating strong localized surface plasmon resonance (LSPR) properties, but often involve tedious processing strategies. In this work, we report a simple one-pot synthesis approach for AuNF–carbon nanotube (CNT) sheet hybrid composites. By using scanning electron microscopy (SEM)/transmission electron microscopy (TEM)/X-ray diffraction (XRD) characterization, we found that gold nanoflowers consist of a spherical core with highly (111)-oriented plate-like petals, based on which we propose a growth mechanism that branched polyethyleneimine and bromine ions synergistically promote the formation of gold nanoflowers on the CNT support. The SERS platform made of AuNFs–CNT sheets can effectively detect the analyte of Congo Red (CR) at concentrations as low as 10−8 M with an enhancement factor of 1.1 × 106. Two orders of magnitude of the SERS performance enhancement are attributed to the strong adsorption of molecules by the substrate and the large surface area, spikes and sharp edges of the nanocrystals.
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ANALYST
·
2024
·
IF 3.6
Lulu Liu,Wenrui Ma,Haolan Tan,Chuang Ge,Bei Zhang,Chunyan Wang,Yang Zhang,Yi Xu
The in situ monitoring of quorum sensing (QS) signal molecules in bacterial biofilms is crucial for the diagnosis and treatment of bacterial biofilms. In this work, a surface-enhanced Raman scattering (SERS) chip integrated with functional units of bacterial biofilms and in situ SERS detection is proposed for the monitoring of pyocyanine, an important signal molecule and biomarker secreted by Pseudomonas aeruginosa. The SERS chip was composed of a top self-assembled nano-silver SERS substrate layer, a PDMS layer containing a micro-chamber array and bottom quartz layer. The nano-silver SERS substrate showed good homogeneity and stability with an enhancement factor of up to 1.84 × 108 for pyocyanine, and the design of the SERS substrate located at the top layer of the chip could effectively attenuate interference from complex matrices. Using the SERS chip, a detection limit of as low as 1 nM for pyocyanine with a wide detection range of 1 nM–100 μM was observed. The proposed SERS chip could achieve the monitoring of pyocyanine during the growth of Pseudomonas aeruginosa biofilms with and without the treatment of different types of antibacterial drugs. Furthermore, pyocyanine secreted by Pseudomonas aeruginosa was confirmed using mass spectrometry (MS), and the concentration relationship obtained via MS/MS was consistent with that obtained via SERS detection. The proposed method based on the SERS chip for monitoring QS in bacterial biofilms offers the advantages of in situ detection, flexibility and efficiency.
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ACS Applied Nano Materials
·
2025
·
IF 5.5
Zhaoxian Chen,Yao Liu,Wenrou Yu,Shihong Liu,Yingzhou Huang
Traditionally, cardiovascular disease diagnosis has relied on invasive testing methods, which may cause anxiety or discomfort in patients. Noninvasive diagnostic technologies, such as wearable sensors, offer significant advantages by reducing these concerns. Surface-enhanced Raman spectroscopy (SERS) is an ultrasensitive technique well-suited for disease diagnosis, particularly when combined with machine learning (ML) algorithms. In this study, we introduce AgNW/MXene hydroxyl composite membranes as SERS substrates for cholesterol detection in sweat. The high specific surface area of MXene enhances the adsorption of target molecules, thereby improving SERS signal sensitivity. Cholesterol was successfully detected at a concentration of 10–8 M, demonstrating the robustness of the method over 50 stretch-release cycles. A random forest (RF) model was employed to classify sweat samples from healthy individuals and cardiovascular patients, achieving an accuracy of 83.5%. Compared to traditional invasive methods, our approach provides a noninvasive, highly sensitive, and durable alternative with the added advantage of easy integration into wearable diagnostic devices. The high sensitivity and durability of these wearable sweat sensors highlights their potential for advancing noninvasive cardiovascular disease detection.
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MICROCHEMICAL JOURNAL
·
2024
·
IF 4.9
Bohan Zhang,Qingling Nie,Xin Yan,Qiaojun Jiang,Junjie Ren,Peipei Xu,Dechan Lu,Ruiyun You,Lizhi Li,Yudong Lu
Lung cancer is extremely lethal and early screening can be an effective treatment for lung cancer. Liquid biopsies allow for rapid, non-destructive testing and are promising for early screening. Plasma is rich in biomarkers and has been widely used for cancer diagnosis. Exosomes derived from plasma are considered a more promising biomarker. This paper reports a label-free detection strategy for plasma and exosomes of cancer-free (HC), adenocarcinoma in situ (AIS) and early-stage invasive adenocarcinoma (IAC) using surface-enhanced Raman spectroscopy (SERS). SERS spectra of plasma and exosomes were trained one to each other using four machine learning algorithms. Notably, this work breaks new ground by proposing a SERS “Combined Spectrum” of plasma combined with exosomes. The SERS “Combined Spectrum” synthesizes SERS spectra of plasma and exosomes from the same case sample into a completely new spectrum for training purposes. Calculated by each of the four machine learning algorithms, the plasma and exosome SERS “Combined Spectrum” were calculated with an accuracy higher than 97 % and an AUC value higher than 0.9500. Based on these results, the combined SERS “Combined Spectrum” of plasma and exosome can be used for the early detection of lung cancer, and it also has a promising future for application in the detection of other diseases.
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